computational statistics


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computational statistics

[‚käm·pyü′tā·shən·əl stə′tis·tiks]
(statistics)
The conversion of statistical algorithms into computer code that can retrieve useful information from large, complex data sets. Also known as statistical computing.
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Liechty has published extensively in the academic literature and recently in the popular press, having authored or co-authored over 25 academic papers and book chapters, appearing in Marketing Science, Journal of Marketing Research, Journal of Experimental Psychology, Psychometrika, Biometrika, Statistics and Computing, Journal of Graphical and Computational Statistics, Journal of Investment Management, Siam Journal on Financial Mathematics and the Financial Times.
Kroese has more than seventy publications in such areas as stochastic modeling, randomized algorithms, computational statistics, and reliability.
The strategies discussed are conceptual rather than computational, making the book more accessible; no knowledge of computational statistics is needed.
March 11 /PRNewswire/ -- REvolution Computing, a provider of software for computational statistics, today announced the appointments of Colin Magee as vice president of Sales and Marketing and Jill Goldschneider as vice president of Research & Development.
R' is becoming the de-facto standard computational statistics package for an estimated one million users of statistical software worldwide, and we have some very interesting and ambitious plans in the coming months and years.
A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach.
Rossi has published journal articles in his areas of research interest, which include nonparametric density estimation, finite mixture models, and computational statistics.
Cyrus Mehta made important breakthroughs in the field of computational statistics which are revolutionizing the way clinical trials are conducted.
The patent represents a real world application of theoretical work recently published as "Cusum techniques for timeslot sequences with applications to network surveillance" in the influential journal, Computational Statistics and Data Analysis.
In this text for advanced undergraduate and graduate students in areas such as communications, computer science, economics, and public health, Kapadia (biostatistics, University of Texas School of Public Health) explains background concepts and builds the technical sophistication needed to move on to more advanced studies in multivariate analysis, decision theory, stochastic processes, or computational statistics.
Keynotes addresses will be delivered by Robert Blattberg, distinguished professor at the Kellogg School of Management at Northwestern University; Ed Wegman, distinguished professor and director of the Center for Computational Statistics at George Mason University; Gordon Linoff, author and founder and principal of Data Miners, Inc.

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